Cristofer Torin

SS Amarillo Sod Poodles

Age 22 R/R 5'9" / 155 lbs AA HR -11% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP45OGV rank#85ETA2028MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	AARI	512	.255/.383/.344	4	15	72	—	.218/.318/.288
2025	20	AA/A+ARI	569	.291/.387/.393	6	16	91	—	.260/.333/.345
2026	21	AAARI	556	.281/.348/.440	16	12	92	—	.258/.310/.396
2027PROJMLE	22	MLBARI	4	.255/.318/.374	0	0	91	0.0
2028PROJ44% MLB	23	MLBARI	227	.258/.322/.385	4	5	95	0.6
2029PROJ58% MLB	24	MLBARI	322	.260/.325/.392	7	7	98	1.0

Next 3 projected WAR 1.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$5M2032Arb-2$8M2033Arb-3$11M

Skills · percentileMiLB Statcast 2026 AA

K%98

Whiff%97

Z-Con%92

wOBA61

Chase%60

ISO57

Career WAR1.3 WAR median (P10 -0.2 / P90 46, comp-based) · star 17% · didn't stick 51%

CompsAlberto Carreon (age 22) · Jasson Atondo (age 23) · Enrique Osorio (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†91

AVG/OBP/SLG.255 / .318 / .374

PA4

HR0

K%25

BB%7

BABIP289

ISO115

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$29M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.6	$2M	+$2M
2029	Pre-Arb	$0.8M	+1.0	$7M	+$6M
2030	Pre-Arb	$0.8M	+1.4	$9M	+$8M
2031	Arb-1	$5M	+1.4	$8M	+$5M
2032	Arb-2	$8M	+1.4	$8M	+$3M
2033	Arb-3	$11M	+1.3	$7M	+$0.5M
Totals		$27M		$41M	+$24M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2022	17	ROK	DSL D-backs Black	—	202	159	53	12	2	0	37	20	4	21	6	333	470	434	904	101	376	10	18	409	76	—	—	—	—	—	—
2023	18	A	Visalia Rawhide	—	156	140	33	1	1	2	14	30	2	6	4	236	314	300	614	64	287	19	9	286	38	—	—	—	—	—	—
2023	18	ROK	ACL D-backs Red	—	126	103	33	3	1	2	21	9	1	15	0	320	440	427	867	107	333	7	17	392	93	—	—	—	—	—	—
2024	19	A	Visalia Rawhide	—	512	419	107	19	3	4	81	84	6	15	5	255	383	344	727	88	308	16	16	336	72	—	—	—	—	—	—
2025	20	AA	Amarillo Sod Poodles	—	25	21	8	4	0	0	3	3	0	1	0	381	458	571	1.030	190	421	12	12	434	143	—	—	—	—	—	—
2025	20	A+	Hillsboro Hops	—	544	467	134	22	3	6	66	78	7	15	7	287	383	385	769	99	331	14	12	349	89	—	—	—	—	—	—
2026	21	AA	Amarillo Sod Poodles	—	556	495	139	23	4	16	45	62	6	12	6	281	348	440	788	160	291	11	8	345	92	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL D-backs Black	—	202	168	35	7	1	0	28	25	4	21	6	208	335	262	597	54	239	12	14	280	76	—	—	—	—	—	—
2023	18	A MLE	Visalia Rawhide	—	156	144	28	1	1	2	10	40	2	6	4	194	256	257	513	62	251	26	6	225	38	—	—	—	—	—	—
2023	18	ROK MLE	ACL D-backs Red	—	126	112	29	2	1	2	12	13	1	15	0	259	336	348	684	89	273	10	10	306	93	—	—	—	—	—	—
2024	19	A MLE	Visalia Rawhide	—	512	441	96	16	3	3	59	113	6	15	5	218	318	288	606	70	277	22	12	275	72	—	—	—	—	—	—
2025	20	AA MLE	Amarillo Sod Poodles	—	25	22	7	3	0	0	2	4	0	1	0	318	375	455	830	136	362	16	8	380	143	—	—	—	—	—	—
2025	20	A+ MLE	Hillsboro Hops	—	544	486	125	21	2	5	47	105	7	15	7	257	331	340	671	82	312	19	9	300	89	—	—	—	—	—	—
2026	21	AA MLE	Amarillo Sod Poodles	—	556	508	131	20	4	14	32	76	6	12	6	258	310	396	705	138	269	14	6	304	92	—	—	—	—	—	—
2022	17	ROK MLE	DSL D-backs Black	—	202	168	35	7	1	0	28	25	4	21	6	208	335	262	597	54	241	12	14	280	76	—	—	—	—	—	—
2022	17	ROK RAW	DSL D-backs Black	—	202	159	53	12	2	0	37	20	4	21	6	333	470	434	904	101	376	10	18	409	76	—	—	—	—	—	—
2023	18	A MLE	2 teams	—	282	255	56	3	2	3	23	53	3	21	4	220	292	282	574	63	265	19	8	261	63	—	—	—	—	—	—
2023	18	A RAW	2 teams	—	282	243	66	4	2	4	35	39	3	21	4	272	370	354	724	82	308	14	12	333	63	—	—	—	—	—	—
2024	19	A MLE	Visalia Rawhide	—	512	441	96	16	3	3	59	113	6	15	5	218	318	288	606	70	284	22	12	275	72	—	—	—	—	—	—
2024	19	A RAW	Visalia Rawhide	—	512	419	107	19	3	4	81	84	6	15	5	255	383	344	727	88	308	16	16	336	72	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	569	508	132	24	2	5	49	109	7	16	7	260	333	344	678	85	318	19	9	304	92	—	—	—	—	—	—
2025	20	A+ RAW	2 teams	—	569	488	142	26	3	6	69	81	7	16	7	291	387	393	780	102	335	14	12	353	92	—	—	—	—	—	—
2026	21	AA MLE	Amarillo Sod Poodles	—	556	508	131	20	4	14	32	76	6	12	6	258	310	396	705	138	276	14	6	304	92	—	—	—	—	—	—
2026	21	AA RAW	Amarillo Sod Poodles	—	556	495	139	23	4	16	45	62	6	12	6	281	348	440	788	160	291	11	8	345	92	—	—	—	—	—	—
2022	17	ROK MLE	DSL D-backs Black	—	202	168	35	7	1	0	28	25	4	21	6	208	335	262	597	54	239	12	14	280	76	—	—	—	—	—	—
2023	18	A MLE	2 teams	—	282	254	56	3	2	3	23	53	3	21	4	220	292	283	575	63	261	19	8	261	63	—	—	—	—	—	—
2024	19	A MLE	Visalia Rawhide	—	512	442	96	16	3	3	59	113	6	15	5	217	318	287	606	70	277	22	12	275	72	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	569	508	132	24	2	5	49	109	7	16	7	260	333	344	678	85	314	19	9	304	92	—	—	—	—	—	—
2026	21	AA MLE	Amarillo Sod Poodles	—	556	513	131	20	4	14	32	76	6	12	6	255	310	392	701	136	269	14	6	304	92	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Visalia Rawhide	—	512	442	96	16	3	3	59	113	6	15	5	217	318	287	606	70	277	22	12	275	72	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	569	508	132	24	2	5	49	109	7	16	7	260	333	344	678	85	314	19	9	304	92	—	—	—	—	—	—
2026	21	AA MLE	Amarillo Sod Poodles	—	556	513	131	20	4	14	32	76	6	12	6	255	310	392	701	136	269	14	6	304	92	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	ARI	2%	648	589	146	25	4	11	47	100	7	13	6	249	312	362	674	113	280	15	7	302	91	-7	+0	-5	+7	+14	0.5
▸ 2027 — real world (MLB)
2027	22	MLB CTX	ARI	2%	4	4	1	0	0	0	0	1	0	0	0	255	318	374	692	118	289	25	0	310	91	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	ARI	44%	517	468	117	20	3	10	39	79	5	11	5	252	316	374	690	122	281	15	8	309	95	-3	+0	-2	+6	+11	1.2
2029	24	MLB MLE	ARI	58%	552	499	127	22	3	12	42	85	6	12	5	253	319	381	699	127	282	15	8	313	98	-1	+0	+0	+6	+12	1.7
2030	25	MLB MLE	ARI	65%	565	510	130	23	3	13	44	89	6	12	5	254	320	384	704	131	283	16	8	315	99	-1	+0	+2	+6	+12	2.1
2031	26	MLB MLE	ARI	68%	578	522	132	23	3	13	45	93	6	12	5	253	320	385	705	132	283	16	8	315	99	-0	+0	+2	+6	+13	2.1
2032	27	MLB MLE	ARI	68%	582	525	132	23	3	13	46	96	6	12	5	252	319	384	703	132	283	16	8	314	99	-1	+0	+2	+6	+13	2.1
2033	28	MLB MLE	ARI	68%	576	520	131	23	3	13	45	96	6	12	6	250	317	380	697	129	283	17	8	312	97	-2	+0	+1	+6	+12	1.8
2034	29	MLB MLE	ARI	66%	562	508	126	22	3	12	44	96	5	11	6	248	315	374	688	126	282	17	8	308	95	-4	-0	+1	+6	+12	1.6
2035	30	MLB MLE	ARI	66%	550	497	122	21	3	11	43	95	5	10	7	245	311	367	678	121	280	17	8	304	92	-5	-1	-0	+6	+12	1.2
2036	31	MLB MLE	ARI	65%	533	482	116	20	2	10	41	95	5	9	9	241	307	357	664	116	278	18	8	298	88	-8	-2	-1	+6	+12	0.7
2037	32	MLB MLE	ARI	65%	511	463	110	19	2	9	39	93	4	9	12	236	301	345	646	109	275	18	8	291	83	-10	-3	-2	+5	+11	0.2
2028	23	MLB CTX	ARI	44%	227	206	53	10	2	4	17	35	2	5	2	258	322	385	707	127	290	15	7	316	95	-1	+0	-1	+2	+5	0.6
2029	24	MLB CTX	ARI	58%	322	291	76	14	2	7	25	50	3	7	3	260	325	392	716	132	291	16	8	320	98	-1	+0	+0	+3	+7	1.0
2030	25	MLB CTX	ARI	65%	367	332	87	16	3	8	28	58	4	8	3	260	326	395	721	135	292	16	8	321	99	-0	+0	+1	+4	+8	1.4
2031	26	MLB CTX	ARI	68%	394	356	93	18	3	8	31	63	4	8	4	260	326	396	722	136	292	16	8	322	99	-0	+0	+1	+4	+9	1.4
2032	27	MLB CTX	ARI	68%	396	358	93	18	3	9	31	65	4	8	4	258	325	395	720	136	292	16	8	321	99	-1	+0	+1	+4	+9	1.4
2033	28	MLB CTX	ARI	68%	392	354	91	17	3	8	31	66	4	8	4	257	323	390	713	134	292	17	8	318	97	-1	+0	+1	+4	+8	1.3
2034	29	MLB CTX	ARI	66%	373	338	85	16	2	8	29	64	3	7	4	254	320	384	705	130	291	17	8	315	95	-2	-0	+0	+4	+8	1.0
2035	30	MLB CTX	ARI	66%	361	327	82	16	2	7	28	63	3	7	4	252	317	377	694	125	289	17	8	310	92	-4	-0	-0	+4	+8	0.8
2036	31	MLB CTX	ARI	65%	347	314	78	15	2	6	27	62	3	6	6	248	312	367	680	120	287	18	8	305	88	-5	-1	-1	+4	+8	0.5
2037	32	MLB CTX	ARI	65%	331	300	74	14	2	6	25	60	3	6	8	242	306	355	661	113	283	18	8	297	83	-7	-2	-1	+4	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3510	3176	812	154	24	71	272	586	33	70	42	256	321	386	707	131	292	17	8	315	91	-22	-3	+4	+38	+76	9.4
/ 162G	—	A+C		—	650	588	150	29	4	13	50	109	6	13	8	255	320	384	704	129	291	17	8	315	91	-4	-1	+1	+7	+14	1.7
Career	—	MLE		—	7857	7065	1740	294	41	145	634	1325	82	199	95	246	316	361	677	115	283	17	8	303	91	-38	-4	+3	+61	+124	15.0
/ 162G	—	MLE		—	650	584	143	24	3	12	52	110	7	16	8	245	314	358	672	113	281	17	8	303	91	-4	-0	+0	+7	+14	1.7

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAmarillo Sod Poodles · 556 PAwOBA .339 → .304 (−35)K% 11.2% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.15%	÷1.000	×1.220	—	—	13.60%
BB% (unintentional) /PA	7.91%	÷1.000	×0.700	—	×1.050	5.82%
HBP% /PA	1.08%	—	×0.870	—	×1.050	0.99%
Singles /BIP	22.17%	÷1.000	×0.920	×0.977	×1.050	20.93%
Doubles /BIP	5.31%	÷1.000	×0.840	×0.977	×1.050	4.58%
Triples /BIP	0.92%	÷1.000	×0.940	×0.977	×1.050	0.89%
Home runs /BIP	3.70%	÷1.000	×0.800	—	×1.050	3.10%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .339 → .304; ISO .160 → .140; BABIP .291 → .269. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Hillsboro Hops · 544 PAwOBA .343 → .300 (−43)K% 14.3% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.34%	÷1.002	×1.350	—	—	19.31%
BB% (unintentional) /PA	12.13%	÷1.044	×0.710	—	×1.042	8.60%
HBP% /PA	1.29%	—	×0.810	—	×1.042	1.09%
Singles /BIP	26.48%	÷1.012	×0.910	×1.010	×1.042	25.04%
Doubles /BIP	5.66%	÷0.908	×0.830	×1.010	×1.042	5.44%
Triples /BIP	0.77%	÷1.150	×0.820	×1.010	×1.042	0.58%
Home runs /BIP	1.54%	÷0.968	×0.830	—	×1.042	1.38%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 102, 2B 82, 3B 130, K 100, BB 109 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .343 → .300; ISO .099 → .089; BABIP .331 → .312. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAAmarillo Sod Poodles · 25 PAwOBA .440 → .380 (−60)K% 12.0% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷0.972	×1.220	—	—	15.07%
BB% (unintentional) /PA	12.00%	÷0.994	×0.700	—	×1.050	8.87%
HBP% /PA	0.00%	—	×0.870	—	×1.050	0.00%
Singles /BIP	22.22%	÷1.041	×0.920	—	×1.050	20.62%
Doubles /BIP	22.22%	÷1.119	×0.840	—	×1.050	17.52%
Triples /BIP	0.00%	÷0.985	×0.940	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.333	×0.800	—	×1.050	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 167, 1B 108, 2B 124, 3B 97, K 94, BB 99 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average).

Result: wOBA .440 → .380; ISO .190 → .159; BABIP .421 → .362. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AVisalia Rawhide · 512 PAwOBA .329 → .275 (−54)K% 16.4% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.41%	÷1.009	×1.360	—	—	22.11%
BB% (unintentional) /PA	15.62%	÷0.980	×0.690	—	×1.045	11.50%
HBP% /PA	1.17%	—	×0.780	—	×1.045	0.96%
Singles /BIP	24.18%	÷1.010	×0.920	×0.955	×1.045	21.98%
Doubles /BIP	5.67%	÷0.964	×0.830	×0.955	×1.045	4.88%
Triples /BIP	0.90%	÷0.965	×0.910	×0.955	×1.045	0.84%
Home runs /BIP	1.19%	÷1.102	×0.800	—	×1.045	0.91%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 102, 2B 93, 3B 93, K 102, BB 96 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .329 → .275; ISO .088 → .074; BABIP .308 → .277. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AVisalia Rawhide · 156 PAwOBA .279 → .225 (−54)K% 19.2% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷1.019	×1.360	—	—	25.66%
BB% (unintentional) /PA	8.97%	÷0.987	×0.690	—	×1.050	6.59%
HBP% /PA	1.28%	—	×0.780	—	×1.050	1.05%
Singles /BIP	26.36%	÷1.060	×0.920	×0.961	×1.050	23.09%
Doubles /BIP	0.91%	÷1.029	×0.830	×0.961	×1.050	0.74%
Triples /BIP	0.91%	÷0.900	×0.910	×0.961	×1.050	0.93%
Home runs /BIP	1.82%	÷1.003	×0.800	—	×1.050	1.52%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 112, 2B 106, 3B 80, K 104, BB 97 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .279 → .225; ISO .064 → .053; BABIP .287 → .251. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 ROKACL D-backs Red · 126 PAwOBA .384 → .306 (−78)K% 7.1% → 10.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.14%	÷1.005	×1.440	—	—	10.23%
BB% (unintentional) /PA	15.87%	÷1.023	×0.620	—	×1.022	9.83%
HBP% /PA	0.79%	—	×0.720	—	×1.022	0.58%
Singles /BIP	28.72%	÷1.033	×0.820	×1.026	×1.022	23.90%
Doubles /BIP	3.19%	÷0.987	×0.720	×1.026	×1.022	2.44%
Triples /BIP	1.06%	÷1.150	×0.720	×1.026	×1.022	0.70%
Home runs /BIP	2.13%	÷0.918	×0.780	—	×1.022	1.85%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 107, 2B 97, 3B 130, K 101, BB 105 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .384 → .306; ISO .107 → .091; BABIP .333 → .273. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 DSLDSL D-backs Black · 202 PAwOBA .404 → .280 (−124)K% 9.9% → 12.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.90%	÷0.978	×1.220	—	—	12.35%
BB% (unintentional) /PA	18.32%	÷0.927	×0.700	—	×1.022	14.15%
HBP% /PA	1.98%	—	×0.700	—	×1.022	1.42%
Singles /BIP	28.06%	÷1.014	×0.680	×0.975	×1.022	18.76%
Doubles /BIP	8.63%	÷1.104	×0.600	×0.975	×1.022	4.68%
Triples /BIP	1.44%	÷1.150	×0.600	×0.975	×1.022	0.75%
Home runs /BIP	0.00%	÷0.896	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 103, 2B 121, 3B 130, K 96, BB 85 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .404 → .280; ISO .101 → .057; BABIP .376 → .239. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Phil Garner'73-'88 * career totals — 13 seasons, 6,860 PA	10.3	6,860	109	225	256*	321*	420*	+25	+14	26.6	24.1
/162	664	11	22	+2.5	+1.3	2.6	pk7: 22
#2Erick Aybarlast yr '17 career totals — 11 seasons, 5,588 PA	8.4	5,588	58	154	271	314	372	+58	+49	22.0	21.3
/162	664	7	18	+6.9	+5.8	2.6	pk7: 21
#3Orlando Cabrera'97-'11 * career totals — 14 seasons, 8,255 PA	12.4	8,255	123	216	262*	308*	381*	+84	+5	19.8	19.1
/162	664	10	17	+6.8	+0.4	1.6	pk7: 18
#4Greg Gagne'83-'97 * career totals — 13 seasons, 6,207 PA	9.3	6,207	111	108	249*	297*	394*	+65	+26	13.2	13.0
/162	664	12	12	+6.9	+2.8	1.4	pk7: 13
#5Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#6Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	5.3	3,513	74	70	250	312	375	+38	+11	10.9	10.0
/162	664	14	13	+7.1	+2.0	2.1	pk7: 9

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Cristofer Torin (OGILVIE)	22	—	—	—	—	246/309/359	112	280	4	4	15%	7%	91	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alberto Carreon 2010 · AAA	22	46→56	45	43→50	48	225/296/348	123	253	13	10	17%	6%	84	+0.1	242/295/324	82	298	5	9	19%	5%	76	-0.4	274/332/381	107	344	7	11	21%	5%	100	+0.8
✕Jasson Atondo 2019 · AAA	23	46→56	40→30	45→50	47	224/275/320	96	268	8	11	20%	6%	68	-1.0	280/316/358	78	316	6	12	13%	5%	91	+0.7	316/346/373	57	351	3	11	10%	4%	101	+1.2
✕Enrique Osorio 2007 · AAA	22	47→55	40→45	47→50	51	225/313/314	89	270	7	14	18%	8%	82	+0.0	221/281/293	72	273	6	14	20%	6%	65	-1.2	266/324/381	114	299	12	10	15%	6%	98	+0.6
●Jake Elmore 2009 · A	22	45→55	40	45→55	45	216/278/317	102	283	6	10	25%	7%	69	-0.9	235/306/311	76	287	3	14	18%	8%	78	-0.3	269/342/344	75	321	2	23	15%	9%	97	+0.9
✕Leo Jiménez 2023 · A	22	48→52	41→45	48→45	51	225/337/325	100	294	8	9	24%	9%	95	+1.0	235/325/347	112	296	10	7	23%	7%	95	+0.9	237/330/347	110	299	10	5	22%	7%	95	+0.5
●Daniel Robertson 2016 · AA	22	53→57	43→45	40	48	253/322/373	120	312	9	4	21%	7%	99	+1.2	243/324/352	109	315	9	4	24%	9%	95	+0.9	242/335/352	110	316	10	2	24%	10%	98	+0.8
✕José Fermín 2022 · AA	23	48→52	42→45	46→55	48	231/290/332	101	257	9	10	14%	6%	77	-0.3	221/304/328	107	247	10	14	15%	9%	82	-0.0	248/334/370	122	271	11	25	12%	10%	102	+0.9
✕LuJames Groover 2024 · A	22	47→55	40→45	47→40	48	225/287/324	99	261	7	8	16%	6%	74	-0.5	243/309/357	114	287	11	6	18%	8%	90	+0.6	250/320/355	105	298	10	4	18%	8%	92	+0.5
✕Gavin Cecchini 2016 · AA	22	52→61	41→45	45	48	251/303/359	107	296	7	6	18%	7%	87	+0.4	254/303/350	96	299	7	5	17%	6%	85	+0.2	254/303/345	91	298	6	4	16%	6%	80	-0.1
✕Josh Kasevich 2023 · A	22	49→59	38→40	42→50	49	230/288/315	85	263	4	6	14%	6%	72	-0.7	250/303/321	71	292	5	9	15%	6%	78	-0.3	263/317/325	62	307	3	8	15%	6%	81	-0.0
✕Yusniel Díaz 2019 · AA	22	50→54	44→45	42→50	48	245/306/365	120	311	11	10	24%	8%	91	+0.6	216/276/340	124	293	12	6	29%	7%	74	-0.6	203/270/314	111	271	13	9	29%	8%	64	-0.7
✕Noah Mendlinger 2023 · A	22	49→59	37→30	47→45	55	228/324/304	75	281	4	9	19%	10%	84	+0.1	257/342/331	74	304	3	8	15%	8%	97	+1.1	269/354/337	68	315	2	8	14%	8%	100	+1.0
✕Johnny Giavotella 2009 · A	22	51→61	41→45	46→50	47	245/290/346	101	283	7	10	16%	6%	79	-0.2	257/307/361	104	296	7	13	15%	7%	89	+0.5	283/331/391	108	325	8	10	15%	6%	103	+1.6
✕Luis Juarez 2012 · AAA	22	49→57	47→45	46→40	45	247/288/380	133	275	15	9	17%	5%	87	+0.4	247/290/365	118	285	11	7	17%	5%	84	+0.2	261/309/379	118	281	13	3	12%	6%	93	+0.5
✕Luis Santana 2021 · AA	22	50	39→45	48→50	48	238/309/327	89	284	6	8	18%	7%	83	+0.1	215/273/337	122	282	13	9	28%	6%	72	-0.7	214/269/345	131	274	15	8	27%	5%	69	-0.5
✕José Caballero 2019 · A	22	47→45	43→45	47→70	45	231/292/348	117	278	10	9	21%	6%	81	-0.1	219/292/328	109	283	9	26	25%	8%	78	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Jesus Rodriguez 2023 · A	21	48→58	41→45	50	50	229/297/339	109	271	7	12	18%	8%	81	-0.1	253/311/365	112	307	10	14	20%	7%	92	+0.7	265/326/372	107	319	9	16	19%	7%	96	+0.8
●Christian Vázquez 2013 · AA	22	44→54	44→50	43→45	43	219/275/336	117	282	12	3	26%	7%	72	-0.7	249/306/342	93	307	7	5	20%	7%	85	+0.2	259/309/407	148	296	18	8	19%	7%	102	+1.0
✕Jorge Flores 2014 · A	22	45→55	38→30	44→50	48	211/280/306	95	256	4	10	18%	7%	68	-1.0	241/293/306	65	291	2	10	17%	6%	72	-0.7	240/291/294	54	290	2	10	17%	5%	65	-0.8
✕Steve Tolleson 2007 · A	23	46→53	42→45	44→50	51	223/298/330	106	272	9	9	21%	9%	80	-0.2	242/310/342	100	307	7	14	22%	8%	86	+0.3	256/314/373	117	303	10	12	18%	7%	92	+0.6

Cristofer Torin

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps